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Re: st: st: Working With mi impute mvn for missing data

From   Nick Cox <>
Subject   Re: st: st: Working With mi impute mvn for missing data
Date   Tue, 26 Apr 2011 00:34:00 +0100

The t-test is a special case of regression. No need to re-invent the
wheel. This was the subject of a recent thread.


On Mon, Apr 25, 2011 at 11:24 PM, Clifton Chow
<> wrote:
> Dear List,
> I have a dataset with 7 ordinal variables of interest that are MAR (Missing at Random) but NOT monotone.  I am proceeding with imputation using mi impute mvn VARLIST method with Add (9).  The result I get is 9 imputations of my 7 variables of interest from observation that are missing on those variables.  I need to determine if the mean average on those variables differ significantly for two cohorts, but while there is mi estimates regress there is no apparent mi estimates ttest.  Should I average the means of all 9 imputations and conduct the traditional ttest?

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